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  1. oggtiny.ckpt +3 -0
  2. oggtiny.yaml +105 -0
oggtiny.ckpt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:83558baef967a0f0f58ce1beb75312baedc6635f0b97b43ab30267e6b77c0028
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+ size 44484142
oggtiny.yaml ADDED
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+ exp:
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+ dir: ./exps
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+ name: oggrestore
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+ datas:
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+ _target_: look2hear.datas.DataModule
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+ dataset_type: 1
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+ sr: 44100
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+ segments: 4
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+ num_steps: 1000
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+ batch_size: 1
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+ num_workers: 0
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+ pin_memory: true
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+ stems:
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+ original: original
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+ codec: codec
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+ train:
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+ dir:
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+ - train
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+ original_format: wav
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+ codec_format: ogg
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+ valid:
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+ dir:
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+ - vaild
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+ original_format: wav
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+ codec_format: ogg
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+ model:
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+ _target_: look2hear.models.apollo.Apollo
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+ sr: 44100
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+ win: 20
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+ feature_dim: 64
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+ layer: 4
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+ discriminator:
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+ _target_: look2hear.discriminators.frequencydis.MultiFrequencyDiscriminator
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+ nch: 2
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+ window:
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+ - 32
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+ - 64
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+ - 128
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+ - 256
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+ - 512
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+ - 1024
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+ - 2048
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+ optimizer_g:
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+ _target_: torch.optim.AdamW
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+ lr: 0.001
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+ weight_decay: 0.01
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+ optimizer_d:
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+ _target_: torch.optim.AdamW
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+ lr: 0.0001
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+ weight_decay: 0.01
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+ betas:
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+ - 0.5
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+ - 0.99
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+ scheduler_g:
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+ _target_: torch.optim.lr_scheduler.StepLR
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+ step_size: 2
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+ gamma: 0.98
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+ scheduler_d:
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+ _target_: torch.optim.lr_scheduler.StepLR
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+ step_size: 2
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+ gamma: 0.98
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+ loss_g:
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+ _target_: look2hear.losses.gan_losses.MultiFrequencyGenLoss
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+ eps: 1.0e-08
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+ loss_d:
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+ _target_: look2hear.losses.gan_losses.MultiFrequencyDisLoss
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+ eps: 1.0e-08
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+ metrics:
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+ _target_: look2hear.losses.MultiSrcNegSDR
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+ sdr_type: sisdr
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+ system:
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+ _target_: look2hear.system.audio_litmodule.AudioLightningModule
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+ early_stopping:
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+ _target_: pytorch_lightning.callbacks.EarlyStopping
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+ monitor: val_loss
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+ patience: 50
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+ mode: min
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+ verbose: true
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+ checkpoint:
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+ _target_: pytorch_lightning.callbacks.ModelCheckpoint
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+ dirpath: ${exp.dir}/${exp.name}/checkpoints
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+ monitor: val_loss
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+ mode: min
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+ verbose: true
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+ save_top_k: 10
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+ save_last: true
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+ filename: '{epoch}-{val_loss:.4f}'
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+ logger:
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+ _target_: pytorch_lightning.loggers.WandbLogger
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+ name: ${exp.name}
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+ save_dir: ${exp.dir}/${exp.name}/logs
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+ offline: false
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+ project: Audio-Restoration
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+ trainer:
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+ _target_: pytorch_lightning.Trainer
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+ devices:
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+ - 0
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+ max_epochs: 50
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+ sync_batchnorm: true
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+ default_root_dir: ${exp.dir}/${exp.name}/
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+ accelerator: cuda
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+ limit_train_batches: 1.0
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+ fast_dev_run: false
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+ precision: bf16
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+ enable_model_summary: true